Improved prediction of CPAP failure using T90, age and gender

Abstract

Sleep apnea syndrome is associated with increased risk of cardiovascular disease. In treating older patients, there is a special emphasis put on minimally invasive and conservative procedures and a simple method for predicting the potential for treatment success is essential. Continuous positive airway pressure (CPAP) is the first choice for treatment, however, it is not always successful. In cases where CPAP was unsuccessful, treatment with bilevel positive airway pressure (BiPAP) is the next treatment option. In this study, we examine commonly evaluated respiratory parameters, obesity, and age relative to their ability to predict CPAP failure. We also tried to find differences in the predictive ability of these parameters in older and younger patients. The predictive ability, relative to CPAP failure, was examined for each individual parameter as well as for combinations of parameters. All variables had a statistical association with CPAP failure; failure prediction reliability ranged from poor to moderate. Combining T90, age, and gender can be used to find patients who will benefit from BiPAP as the first choice for treatment. An initial BiPAP indication can produce relevant reductions in treatment cost.

Keywords: Age; CPAP failure; Obesity; Prediction of failure; Sleep apnea syndrome.